DocumentCode :
3740989
Title :
Dyed banknotes detection system using digital: Image processing
Author :
Gabriel Penalber;Luiz E. S. e Silva;Kenny V. dos Santos;S. S. Waldir;Wheidima C. Melo
Author_Institution :
Federal University of Amazonas Manaus, AM, Brasil
fYear :
2015
Firstpage :
191
Lastpage :
192
Abstract :
Currently, there Is a growing demand for automated teller machine (ATM) in the cities. Due to the large concentration of banknotes, these devices have been targets of theft with the use of explosives. When this action occurs, generally, the ATM dyes the banknotes using a degradation agent in order to avoid the use of banknotes in the market and helps the police to identify criminals. In this article, we propose a dyed banknotes detection system using digital image processing tools. In the experiments performed to test images 72 and five systems, we found that the results are excellent with respect to detection error and the runtime.
Keywords :
"Online banking","Digital images","Runtime","Image color analysis","Histograms","Databases","Image segmentation"
Publisher :
ieee
Conference_Titel :
Consumer Electronics (GCCE), 2015 IEEE 4th Global Conference on
Type :
conf
DOI :
10.1109/GCCE.2015.7398685
Filename :
7398685
Link To Document :
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